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Article . 2020 . Peer-reviewed
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Article . 2020
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Projections of Tourist Arrivals in the Eastern Black Sea Region of Turkey

Authors: Ashfak Ahmad KHAN;

Projections of Tourist Arrivals in the Eastern Black Sea Region of Turkey

Abstract

Tourism forecasting plays a vital role to develop strong policy for the management of future development in the sector. This study makes tourist arrival projections in the Eastern Black Sea Region of Turkey with application of Autoregressive Integrated Moving Average (ARIMA) model. Annual data of tourist arrivals from 1996 to 2018 has been used for proposed model. The results have revealed that the proposed model has projected the tourist arrival values that are very close to actual values. Tourist arrivals are projected to be increased in the future years in Eastern Black Sea Region, hence, making the region a popular tourist destination. Therefore, prior measures are important to take in order to develop tourism in sustainable form. The results of the study are useful for development of better tourism policy for the region as future projection is an integral part of sustainable tourism development.

Country
Turkey
Related Organizations
Keywords

Geography (General), arima modelling, tourist arrivals, Tourist arrivals, ARIMA modelling, eastern black sea region, Tourism forecast, turkey, G1-922, tourism forecast

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
gold